TY - GEN
T1 - Optimal Setting of Overcurrent Relay on Industrial Power System Using Particle Swarm Optimization
AU - Hakim, Miftakhul Fauzia
AU - Pujiantara, Margo
AU - Lystianingrum, Vita
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Overcurrent relay (OCR) setting in the industrial power system is a challenge for some engineers. The problem is not only determining the curve type and the value of the time dial setting (TDS) but also the number of relays that must be set. The relays are installed starting from the load side (downstream) to the power source (upstream). Thus, it takes a long time to set all the installed relays. One of solution to this problem is changing the form of the relay setting problem into an optimization problem. Recently, many studies have been using particle swarm optimization (PSO) to solve optimization problems. However, there are still few of them that use PSO to optimize relay setting problems in an industrial power system. This paper uses PSO as an optimization algorithm to solve OCR setting problem. PSO is a swarm-based algorithm that is easy to implement for various optimization problems but has some drawbacks in solving problems. Therefore, this paper proposes a new form of adaptive PSO, namely modified adaptive particle swarm optimization (MAPSO). In contrast to PSO, the MAPSO algorithm provides more optimal results than the original PSO.
AB - Overcurrent relay (OCR) setting in the industrial power system is a challenge for some engineers. The problem is not only determining the curve type and the value of the time dial setting (TDS) but also the number of relays that must be set. The relays are installed starting from the load side (downstream) to the power source (upstream). Thus, it takes a long time to set all the installed relays. One of solution to this problem is changing the form of the relay setting problem into an optimization problem. Recently, many studies have been using particle swarm optimization (PSO) to solve optimization problems. However, there are still few of them that use PSO to optimize relay setting problems in an industrial power system. This paper uses PSO as an optimization algorithm to solve OCR setting problem. PSO is a swarm-based algorithm that is easy to implement for various optimization problems but has some drawbacks in solving problems. Therefore, this paper proposes a new form of adaptive PSO, namely modified adaptive particle swarm optimization (MAPSO). In contrast to PSO, the MAPSO algorithm provides more optimal results than the original PSO.
KW - overcurrent relay (OCR)
KW - particle swarm optimization (PSO)
KW - time dial setting (TDS)
UR - http://www.scopus.com/inward/record.url?scp=85149114693&partnerID=8YFLogxK
U2 - 10.1109/CENIM56801.2022.10037484
DO - 10.1109/CENIM56801.2022.10037484
M3 - Conference contribution
AN - SCOPUS:85149114693
T3 - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
SP - 371
EP - 376
BT - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Y2 - 22 November 2022 through 23 November 2022
ER -